Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = -0.5 * weight + 67
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | NISHITANI Taiji | 62 |
| 7 | TANG Wang Yip | 62 |
| 9 | WU Kin San | 68 |
| 14 | SOUTHAM Tom | 69 |
| 15 | MASSON Christophe | 68 |
| 16 | MIZBANI Ghader | 67 |
| 18 | ASKARI Hossein | 73 |
| 27 | UCHIMA Kohei | 63 |
| 28 | SALEH Mohd Zamri | 58 |
| 35 | FENG Chun Kai | 68 |
| 42 | LAPTHORNE Darren | 70 |
| 51 | WONG Kam-Po | 65 |
| 67 | CHAN Chun Hing | 70 |
| 70 | MIURA Kyoshi | 67 |
| 83 | CRAWFORD Jai | 59 |